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基于ANN的工程机械预知维修专家系统研究
引用本文:辛道勇,王健,张琦,乔忠云,刘占山.基于ANN的工程机械预知维修专家系统研究[J].机械与电子,2004(4):63-67.
作者姓名:辛道勇  王健  张琦  乔忠云  刘占山
作者单位:1. 解放军理工大学,江苏,南京,210007
2. 淮海工学院,江苏,连云港,223000
摘    要:利用人工神经网络(ANN)的知识,构建工程机械故障神经网络模型,开发了基于神经网络的工程机械维修预测专家系统。系统在对机械被测部件进行综合数据分析(包括智能分析等)的基础上,可以及时合理的作出维修决策,从而最终实现工程机械的最优化维修。叙述了该系统的设计原理及实现过程,分析了系统的工作状况。

关 键 词:工程机械  预知维修  神经网络  专家系统
文章编号:1001-2257(2004)04-0063-04
修稿时间:2003年12月31

Research on the Expert System of Predictive Maintenance of Engineering Machine based on the Artificial Neural Network
XIN Daoyong,WANG Jian,ZHANG Qi,QIAO Zhongyun,LIU Zhanshan.Research on the Expert System of Predictive Maintenance of Engineering Machine based on the Artificial Neural Network[J].Machinery & Electronics,2004(4):63-67.
Authors:XIN Daoyong  WANG Jian  ZHANG Qi  QIAO Zhongyun  LIU Zhanshan
Affiliation:XIN Daoyong~1,WANG Jian~1,ZHANG Qi~1,QIAO Zhongyun~2,LIU Zhanshan~2
Abstract:An artificial neural network(ANN) model of engineering machine fault was built by the knowledge of ANN in this paper,and an expert system of engineering machine predictive maintenance based on the ANN was developed.On the foundation of synthetic data analysis (include intelligence analysis) of engineering machine's supervised assembly,this system can work out maintenance decisionmaking of engineering machine in time and reasonabley,and can realized the optimization of engineering machine servicing finally.The principle and the function of the system was described.The work condition was analyzed and the plan of the software and the hardware of the system was presented.
Keywords:engineering machine  predictive maintenance  artificial neural network  expert system
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